🚀 Vector-Project

A full-stack web application for efficient management and visualization of vector-based data.

Live Demo | Documentation

📖 Overview

The Vector-Project is a comprehensive full-stack web application designed to facilitate the storage, retrieval, and interaction with vector-based data. It provides a robust backend API for data management and a dynamic frontend user interface for visualizing and manipulating this data. Built with modern JavaScript technologies, it aims to offer a scalable and interactive platform for applications requiring vector data handling, such as geographic information systems, machine learning feature stores, or interactive graphical tools.

✨ Features

• 🎯 Vector Data Management: Robust API for creating, reading, updating, and deleting vector-related entities.
• 🔐 JWT User Authentication: Secure user login and authorization using JSON Web Tokens.
• 📱 Responsive Frontend UI: An interactive client-side application built with React to interact with the backend.
• ⚡ Persistent Data Storage: Utilizes MongoDB for efficient and scalable NoSQL data storage.
• ⚙️ Environment Configuration: Easy setup and customization via .env files.
• 📦 Monorepo Structure: Organized separation of frontend and backend concerns within a single repository.

🖥️ Screenshots

🛠️ Tech Stack

Frontend:

Backend:

Database:

DevOps & Tools:

🚀 Quick Start

Follow these steps to get the Vector-Project up and running on your local machine.

Prerequisites

Before you begin, ensure you have the following installed:

• Node.js: ^14.x or later (including npm).
• MongoDB: A running instance of MongoDB (locally or accessible via a URI).

Installation

1. Clone the repository

   git clone https://github.com/Vishok-2006/Vector-Project.git
   cd Vector-Project

2. Install backend dependencies Navigate to the backend directory and install its dependencies:

   cd backend
   npm install
   cd .. # Go back to the root directory

3. Install frontend dependencies Navigate to the frontend directory and install its dependencies:

   cd frontend
   npm install
   cd .. # Go back to the root directory

4. Environment setup Create an .env file in the root directory by copying the example:

   cp .env.example .env

   Then, open the newly created .env file and configure your environment variables. The .env.example provides the following:

   # Backend Configuration
   PORT=5000                   # Port for the backend API
   MONGO_URI=mongodb://localhost:27017/vector_project # MongoDB connection string
   JWT_SECRET=supersecretjwtkey # Secret key for JWT authentication (CRITICAL for security - change in production!)
   NODE_ENV=development        # Node environment (e.g., development, production)
   
   # Frontend Configuration (if needed by build process)
   REACT_APP_API_URL=http://localhost:5000/api # URL for the backend API from the frontend
   

5. Database setup Ensure your MongoDB server is running. The application will connect to the MONGO_URI specified in your .env file. There are no explicit migration commands detected, implying the schema is managed programmatically or through a simple structure.

6. Start the application The start.sh script orchestrates the launch of both the backend and frontend development servers.

   chmod +x start.sh # Make the script executable
   ./start.sh

   This script typically starts the backend API on http://localhost:5000 and the frontend application on http://localhost:3000 (or similar default React dev server port).

7. Open your browser Visit http://localhost:3000 (or the port indicated by your frontend's development server) to access the application.

📁 Project Structure

Vector-Project/
├── .env.example              # Example environment variables for setup
├── .gitignore                # Specifies intentionally untracked files to ignore
├── package-lock.json         # Records the exact dependency tree
├── start.sh                  # Shell script to initialize and run the application (frontend & backend)
├── backend/                  # Contains the Node.js Express API
│   ├── node_modules/         # Backend dependencies
│   ├── package.json          # Backend project metadata and scripts
│   ├── src/                  # Backend source code (e.g., routes, controllers, models)
│   └── ...                   # Other backend-specific files
└── frontend/                 # Contains the React client-side application
    ├── node_modules/         # Frontend dependencies
    ├── public/               # Static assets (HTML, images, manifest)
    ├── src/                  # React components, pages, state management, utilities
    ├── package.json          # Frontend project metadata and scripts
    └── ...                   # Other frontend-specific files

⚙️ Configuration

Environment Variables

The .env file (created from .env.example) allows you to configure critical aspects of the application.

| Variable | Description | Default (from .env.example) | Required |

| :------------------- | :--------------------------------------------------- | :-------------------------- | :------- |

| PORT | Port on which the backend API will run. | 5000 | Yes |

| MONGO_URI | Connection string for the MongoDB database. | mongodb://localhost:27017/vector_project | Yes |

| JWT_SECRET | Secret key used for signing JWTs. Critical for security; change this! | supersecretjwtkey | Yes |

| NODE_ENV | Node.js environment mode (development, production). | development | Yes |

| REACT_APP_API_URL | Base URL for the backend API, used by the frontend. | http://localhost:5000/api | Yes |

Configuration Files

• start.sh: This shell script contains the primary logic for starting both the backend and frontend components. It can be modified to suit different deployment strategies or development workflows.
• package.json (in backend/ and frontend/): Defines project dependencies and scripts for each respective part of the application.

🔧 Development

Available Scripts

Within the backend/ and frontend/ directories, you will typically find standard Node.js scripts:

| Command (within backend/) | Description |

| :-------------------------- | :-------------------------------- |

| npm start | Starts the backend API server. |

| npm dev | (If configured) Starts backend in watch mode. |

| Command (within frontend/) | Description |

| :--------------------------- | :-------------------------------------------------- |

| npm start | Starts the frontend development server. |

| npm run build | Creates a production-ready build of the frontend. |

The root start.sh script automates running these for both parts of the application.

Development Workflow

For day-to-day development, it is recommended to use the start.sh script. This ensures both the backend and frontend are initiated correctly with the specified environment variables. If you need to debug or work on a single part, you can navigate into backend/ or frontend/ and use their respective npm start commands.

🧪 Testing

No explicit testing framework or scripts were detected at the root level or in the provided metadata. It is recommended to add testing for both frontend components and backend API endpoints.

To run tests (if they were implemented):

# Example for backend (if Jest/Mocha is used)
cd backend
npm test

# Example for frontend (if React Testing Library/Jest is used)
cd frontend
npm test

🚀 Deployment

Production Build

To prepare the frontend for production:

cd frontend
npm run build

This command generates static assets in the frontend/build (or similar) directory, which can then be served by a web server or integrated with the backend.

Deployment Options

The start.sh script provides a good basis for deploying both components. In a production environment, you would typically:

• Backend: Deploy the Node.js backend to a cloud platform (e.g., AWS EC2, Heroku, DigitalOcean) and connect it to a managed MongoDB service (e.g., MongoDB Atlas). Ensure NODE_ENV=production is set.
• Frontend: Serve the frontend production build (generated by npm run build) via a static hosting service (e.g., Netlify, Vercel, AWS S3 with CloudFront) or have the backend serve the static files.

Consider containerization with Docker for more consistent deployments, although no Dockerfile was detected.

📚 API Reference

The backend exposes a RESTful API for interacting with vector data and managing user authentication.

Authentication

The API uses JWT (JSON Web Tokens) for authentication.

• Users typically send credentials to a login endpoint.
• Upon successful authentication, a JWT is issued.
• This token must be included in the Authorization header of subsequent requests (e.g., Bearer <token>) to access protected routes.

Endpoints

While specific endpoints are not detailed without code access, the architecture implies:

• POST /api/auth/register: Register a new user.
• POST /api/auth/login: Authenticate user and receive a JWT.
• GET /api/vectors: Retrieve a list of vector data. (Requires authentication)
• POST /api/vectors: Create new vector data. (Requires authentication)
• GET /api/vectors/:id: Retrieve specific vector data by ID. (Requires authentication)
• PUT /api/vectors/:id: Update specific vector data by ID. (Requires authentication)
• DELETE /api/vectors/:id: Delete specific vector data by ID. (Requires authentication)

🤝 Contributing

We welcome contributions to the Vector-Project! If you're interested in improving the application, please consider the following:

1. Fork the repository.
2. Create a new branch for your feature or bug fix (git checkout -b feature/your-feature-name).
3. Make your changes and ensure they adhere to the project's coding style.
4. Write clear, concise commit messages.
5. Push your changes to your forked repository.
6. Open a Pull Request to the main branch of this repository, describing your changes in detail.

Development Setup for Contributors

Follow the Quick Start guide to set up your development environment.

📄 License

This project is licensed under a license (Not specified in repository data). Please check for a LICENSE file within the repository for details.

🙏 Acknowledgments

• Built with Node.js and React.
• Powered by Express.js for the backend API.
• Data persistence handled by MongoDB.
• Authentication provided by JSON Web Tokens.

📞 Support & Contact

• 🐛 Issues: Feel free to report bugs or suggest features via GitHub Issues.

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Made with ❤️ by Vishok-2006